XIUS launches the latest versions of XIUS AMPLIO

XIUS, a leading supplier of telecom, mobile payments technology and enterprise offerings today announced the availability of its next generation predictive analytics platform, XIUS AMPLIO. The latest version comprises of advanced features and futuristic functionalities that will address the growing needs of clients. Market feedback and in-depth analysis coupled with the relentless efforts of XIUS R&D team has led to this evolved solution that will better align to future business needs of most organizations.

Built on the company’s Predictive Data Modeling platform, XIUS AMPLIO combines real-time analytics and the hidden value of customer profiling to deliver enriched end-user experience. The revamped solution will enable mobile operators and enterprises to do away with the age-old practice of offering standard plans & packages. Service providers will now be able to offer diverse and dynamic portfolio of services through targeted marketing based on customer insights and needs.

More than a year ago, XIUS AMPLIO was first launched to optimize utilization of core data networks and monetize available bandwidth through differentiated service offerings. The initial version helped service providers to accelerate their data revenues and improve consumers’ uptake of data services. Analytics made it possible to target end users with differentiated data packages at specific time periods to ensure that operators’ network capacities are optimally utilized.

The advanced XIUS AMPLIO would help in generating value sources of customer insights to enhance customer experience and improve monetization through continuous application of operational efficiency. By means of this solution, XIUS offers a unique personalized engagement model that not just targets an improvement in revenue but also reduces churn over a period of time with sustained joint effort.

G V Kumar, CEO and Managing Director of XIUS said, “By implementing advanced analytics, application and action, organizations will be able to deliver richer, personalized experiences for their consumers. We have been working with one of our clients, a global mobile operator on the churn prediction model. Our analytics engine assessed the usage behavior of customers and predicted, with an accuracy of over 80 percent, those that had a high propensity to churn. With collaborative effort, mobile operators can reduce their marketing spends significantly, in certain cases up to 40 percent. This would allow Communication Service Providers (CSPs) to target their offers only to that segment of customers certain to churn”.